Data Entry Specialist and Data Analyst

ABDUR RAFAY

ABOUT ME

Motivated and detail-oriented Statistics student with a strong passion for data analysis, statistical modeling, and evidence-based decision-making. Skilled in analyzing complex datasets, identifying meaningful patterns, and transforming data into actionable insights. Continuously developing expertise in Python, SQL, Excel, data visualization, and machine learning while building a solid foundation in database systems. Recognized for strong analytical thinking, problem-solving abilities, adaptability, and a commitment to delivering accurate, high-quality results in collaborative and fast-paced environments. EDUCATION

SKILLS

Programming Languages: C, C++, Python(Data Science Basics). Statistical Software: MATLAB, Minitab, RStudio, MS office, Tableau. Data Analysis & Machine Learning: Statistical Modeling, Data Entry, Quantitative Research, Exploratory Data Analysis (EDA), Feature Engineering, Regression Analysis. Soft Skills: Problem Solving, Decision Making, Critical Thinking. BACHELOR OF STATISTICS (B.S)

University Of Karachi

2022 - 2025

033*-******* ***************@*****.*** linkedin.com/in/mirzaabdurrafaybaig Islamabad, Pakistan INTERMEDIATE (Computer Science)

ADLER COLLEGE

2020 - 2021

CERTIFICATION

Data Analytics Job Simulation – Deloitte (Forage)

Data Science, NED Academy.

2026

2026

EXTRACURRICULAR & VOLUNTEER EXPERIENCE

Hammad Foundation - Participated in community development initiatives, event organization, and volunteer activities while collaborating with teams to support social welfare programs. PROJECTS

Global Fuel Prices Prediction

Developed a machine learning model to predict global petrol prices using historical fuel price and economic data from 2020–2026. Applied data preprocessing, feature engineering, and exploratory data analysis on 2,000+ records to identify pricing patterns and market trends. Compared Linear Regression, Decision Tree, and Random Forest models, with Random Forest achieving an R score of approximately 0.96 on the test dataset. Python Pandas NumPy Scikit-learn Matplotlib Google Colab Tobacco-Free Assessment Survey PTCC Sindh & University of Karachi Conducted field data collection as an authorized Data Enumerator across designated districts of Sindh for the Provincial Tobacco Control Cell (PTCC) Tobacco-Free Assessment. Performed data cleaning, sorting, validation, and preprocessing in Microsoft Excel to ensure data accuracy, consistency, and completeness before analysis.

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